geoskill-green-infrastructure-mapping

Map green infrastructure from high-resolution NDVI, tree crown detection, green-space classification and patch connectivity.

绿色基础设施制图 | Green Infrastructure Mapping

Maps green infrastructure (green spaces, trees) from high-resolution multispectral imagery to support ecological network assessment and green-space planning.

Core algorithm: NDVI = (NIR−Red)/(NIR+Red) with threshold segmentation of green spaces; local-maxima detection on the NDVI field counts tree-crown candidates; connectivity index = largest connected patch area / total green-space area ∈ [0,1], where higher values indicate better-connected green spaces. A single connected block yields 1, while fragmented patterns yield values below 1.

Dependencies / 依赖

bash

pip install 'numpy' 'rasterio' 'scipy'

Usage / 使用方法

Basic Usage

bash

python geoskill-green-infrastructure-mapping.py --bbox 116.0 39.0 117.0 40.0 [other options]

Examples

Example 1 (Synthetic Data (Offline))

bash

python geoskill-green-infrastructure-mapping.py --bbox 116.0 39.0 117.0 40.0 --synthetic --output-dir ./out

Example 2 (Usage 2)

bash

python geoskill-green-infrastructure-mapping.py --input multispectral.tif --output-dir ./out

Example 3 (Usage 3)

bash

python geoskill-green-infrastructure-mapping.py --bbox 121.0 31.0 122.0 32.0 --ndvi-threshold 0.35 --output-dir ./out --quiet

Example 4 (Usage 4)

bash

python geoskill-green-infrastructure-mapping.py --input ms.tif --ndvi-threshold 0.25 --output-dir ./out

Example 5 (Usage 5)

bash

python geoskill-green-infrastructure-mapping.py --bbox 116.0 39.0 117.0 40.0 --synthetic --output-dir ./out --quiet

Output / 输出

File	Format	Description
green_infrastructure.tif	GeoTIFF	Two bands: band1=NDVI, band2=green-space mask
green_stats.json	JSON	Mean NDVI, green-space fraction, tree count, connectivity index, patch count
output-manifest.json	JSON	Run manifest

Data Source / 数据源 / Source

Local multispectral GeoTIFF (Red, NIR); --synthetic mode simulates a scene of connected green spaces, scattered tree crowns, and an impervious background.

Privacy / 隐私声明 / Privacy

• Runs offline by default; --synthetic mode requires no network at all.
• All processing is done locally; user data is never uploaded.

License / License

MIT

---

---

name: geoskill-green-infrastructure-mapping description: 'Map green infrastructure from high-resolution NDVI, tree crown detection, green-space classification and patch connectivity.'

绿色基础设施制图 | Green Infrastructure Mapping

从高分辨率多光谱影像制图绿色基础设施（绿地、树木），服务于生态网络评估与绿地规划。

核心算法：NDVI = (NIR−Red)/(NIR+Red)，阈值分割绿地；对 NDVI 场做局部极大值检测统计树冠候选数；连通性指数 = 最大连通斑块面积/总绿地面积 ∈ [0,1]，值越高表示绿地越连通。单一连通块为 1，碎片化小于 1。

依赖

bash

pip install 'numpy' 'rasterio' 'scipy'

使用方法

基本用法

bash

python geoskill-green-infrastructure-mapping.py --bbox 116.0 39.0 117.0 40.0 [其他参数]

示例

示例 1（合成数据（离线））

bash

python geoskill-green-infrastructure-mapping.py --bbox 116.0 39.0 117.0 40.0 --synthetic --output-dir ./out

示例 2（用法 2）

bash

python geoskill-green-infrastructure-mapping.py --input multispectral.tif --output-dir ./out

示例 3（用法 3）

bash

python geoskill-green-infrastructure-mapping.py --bbox 121.0 31.0 122.0 32.0 --ndvi-threshold 0.35 --output-dir ./out --quiet

示例 4（用法 4）

bash

python geoskill-green-infrastructure-mapping.py --input ms.tif --ndvi-threshold 0.25 --output-dir ./out

示例 5（用法 5）

bash

python geoskill-green-infrastructure-mapping.py --bbox 116.0 39.0 117.0 40.0 --synthetic --output-dir ./out --quiet

输出

文件	格式	说明
green_infrastructure.tif	GeoTIFF	双波段：band1=NDVI，band2=绿地掩膜
green_stats.json	JSON	平均 NDVI、绿地比例、树木数、连通性指数、斑块数
output-manifest.json	JSON	运行清单

数据源 / Source

本地多光谱 GeoTIFF（Red, NIR）；--synthetic 模式模拟连通绿地 + 散布树冠 + 不透水背景的场景。

隐私声明 / Privacy

• 默认离线运行，--synthetic 模式完全无网络。
• 所有处理在本地完成，不上传用户数据。

License

MIT